Fusion of LWIR sensor data by Bayesian methods

Ramarao Inguva; Grannison Garrison

doi:10.1117/12.303676

20 March 1998 Fusion of LWIR sensor data by Bayesian methods

Ramarao Inguva, Grannison Garrison

Proceedings Volume 3376, Sensor Fusion: Architectures, Algorithms, and Applications II; (1998) https://doi.org/10.1117/12.303676
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

Using Bayesian statistical methods a formulation is setup for fusing multi band data from LWIR sensors. This formulation is illustrated with applications to synthetic data consisting of 100 signatures in the wavelength bands 6 - 10 micrometers , 11 - 16 micrometers and 17 - 21 micrometers . Following the works of Jaynes, and Bretthorst, a Bayesian formulation is given for detrending the time series data for the emissive area, followed by estimations of frequencies and their amplitudes. This formulation is illustrated with analysis of the synthetic data.

Citation Download Citation

Ramarao Inguva and Grannison Garrison "Fusion of LWIR sensor data by Bayesian methods", Proc. SPIE 3376, Sensor Fusion: Architectures, Algorithms, and Applications II, (20 March 1998); https://doi.org/10.1117/12.303676

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